Bing Wu

5.2k citations
124 papers · 4.1k · 1 hit paper · h-index 32

Impact in

Papers in

Bing Wu

114 papers receiving 4.1k citations

Bing Wu's Hit Papers

Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition 2011 · 513 citations
5130+5+10Years since publication100200300400500

Peers

Bing Wu
Comparison fields: 5 of 148
  • Radiology, Nuclear Medicine and Imaging 2.0k
  • Neurology 376
  • Spectroscopy 358
  • Cognitive Neuroscience 378
  • Biophysics 96
Replace Jing Liu with:
Jing Liu China
Xiaoping Zhu United States
Christopher H. Sotak United States
Milan Hájek Czechia
P. G. Barth Netherlands
Jan Mintorovitch United States
Kishore Bhakoo Singapore
Hongyu An United States
Val M. Runge United States
Masaya Takahashi Japan
Bing Wu relative to Jing Liu China Jing Liu's profile →
Citations per field
00.5×1.5×2.3×
Jing Liu · 1×
Citations per year

Countries citing papers authored by Bing Wu

Since Specialization
Citations

This map shows the geographic impact of Bing Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Wu more than expected).

Fields of papers citing papers by Bing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bing Wu. The network helps show where Bing Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Bing Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bing Wu Line = papers co-authored together Bing Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition
Hit paper breakdown →
2011513
2 2011348
3 2013255
4 2013210
5 2016208
6 2011193
7 2011182
8 2011139
9 201197
10 201892
11 201991
12 201180
13 201969
14 201167
15 200962
16 200960
17 201957
18 201250
19 200950
20 201649

About Bing Wu

Bing Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Electrical and Electronic Engineering, Spectroscopy and Molecular Biology, having authored 124 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (42 papers), Advanced NMR Techniques and Applications (13 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Lanthanide and Transition Metal Complexes (7 papers), Atomic and Subatomic Physics Research (7 papers), Ultrasound Imaging and Elastography (6 papers), Medical Imaging Techniques and Applications (6 papers) and MRI in cancer diagnosis (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.0k citations), Neurology (376 citations), Spectroscopy (358 citations), Cognitive Neuroscience (378 citations) and Biophysics (96 citations). Bing Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chunlei Liu, Wěi Li, Wei Li, Alexandru Avram, Arnaud Guidon, G. Allan Johnson, Wei Li, André J. Simpson, Xiaoliang Zhang and Gary X. Shen. Their work appears in journals such as NeuroImage, Magnetic Resonance Imaging, Magnetic Resonance in Medicine, Pediatric Blood & Cancer and ACS Omega.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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